Lead Scientist, Performance Augmentation Systems
Nathan’s interests are in allowing humans and artificially intelligent entities to collaborate and interact. He has applied this expertise to domains ranging from software personal assistants to human-multirobot teams. Nathan is the creator of an Incident Command training system, DEFACTO, which has been tested by the Los Angeles Fire Department. The system allows human incident commanders to coordinate with fire fighter agents during a large-scale disaster response.
Nathan holds a Ph.D. in Artificial Intelligence from the University of Southern California, where he was awarded the Viterbi School of Engineering Homeland Security Center Doctoral Fellowship. He holds a M.S. in Computer Science from the University of Southern California and a B.S. in Computer Engineering from California Polytechnic State University San Luis Obispo. He is a member of the Association for the Advancement of Artificial Intelligence.
Alexander, A., Saffell, T. N., Alaverdi, O., Carlin, A. S., Chang, A., Durkee, K., Galster, S. M., Geiselmen, E., Latorella, K., Wickens, C. D., & Schurr, N. (in press). ALARMS: Alerting and reasoning management system. NASA.
Swanson, L., Jones, E., Riordan, B., Bruni, S., Schurr, N., Sullivan, S., & Lansey, J. (2012). Exploring human error in an RPA target detection task. Proceedings of the 56th Annual Meeting of the Human Factors and Ergonomics Society (HFES 2012), Boston, Massachusetts.
Amato, C., Schurr, N., & Picciano, P. (2011). Towards a realistic decentralized modeling for use in a real-world personal assistant agent scenario. In Proceedings of the 10th International Joint Conference on Autonomous Agents and Multi-Agent Systems. Taipei, Taiwan.
Bruni, S., Riordan, B., Schurr, N., Cooke, N., Freeman, J., Roberts, J., & Rima, N. (2011). Designing a mixed-initiative decision-support system for multi-UAS mission planning. Proceedings of the 55th Annual Meeting of the Human Factors and Ergonomic Society (HFES 2011), Las Vegas, Nevada.
Bruni, S., Schurr, N., Riordan, B., Ayers, J., & Sucillon, S. (2011). Measuring trainee intent using low-cost, high-impact cognitive models. Proceedings of the Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC). Arlington, Virginia.
For more information about Nathan Schurr’s publications, please contact firstname.lastname@example.org.